From: Michael Gonzales <mgonzales@celgene.com>

Subject: open positions

Date: August 30, 2012 12:18:23 PM PDT

To: "matt.jacobson@ucsf.edu" <matt.jacobson@ucsf.edu>

Matt,

Hope all is going well with you. I'm wondering if you know anyone that might be a fit for a couple open positions that I have in my group. The positions are "contract" but I intend to make these full time after successful completion of the project.

I'm looking for someone to essentially lead NGS analysis for my group. Specifically I need someone who is experienced in:
- rigorous analysis of RNA-seq data (ideally from clinical samples) - GEP, mutations, splice form quantification, gene fusions, etc

- putting together the infrastructure to analyze NGS data (db, algorithms, etc)

Here's my wish list of qualifications:
=============================
REQUIRED QUALIFICATIONS
· Graduate-level degree (Ph.D. preferred) in a life science discipline (bioinformatics, biology, biochemistry, medicinal chemistry, bioengineering, etc.). Candidates with a degree in another natural science, computer science, information technology or a related discipline will also be considered but must have a track record of research experience in computational life science
· Two years post-graduate work experience conducting computational biology research (academic, government, or industry)
· Proven record of working with Next-Gen Sequence (NGS) analysis including RNA-seq, ChIP-seq, whole genome assembly.
· Extensive experience with large genomic data sets, as exemplified by the following areas: microarray analysis, high-throughput sequence analysis, automated annotation, gene prediction, population genomics, quantitative genetics, comparative genomics
· Experience working in a command line environment including compiling and configuring bioinformatics software
· Experience with extracting, manipulating, and integrating data from public biological data repositories (e.g. NCBI, Ensembl, UCSC).
· Proficient programming skills with at least one scripting language (Perl, R, Python, Ruby, etc)
· Strong interest in science and technology and ability to rapidly adopt and adapt to leading edge technologies
· Excellent oral presentation and communications skills
· Advanced ability to work independently under established deadlines and as part of a team

PREFERRED QUALIFICATIONS
· Demonstrated success in publishing computational science results and in presenting data to senior management
· Experience managing projects involving advanced computing and information technologies used in life science research in academia, government laboratories, and/or industry
· Proven ability to promote and support the use of computing, visualization, networking, and massive data storage systems to scientists to expand their research impact
=============================

-------------------------------------------------------

Michael B. Gonzales, Ph.D.
Director, Computational Biology
Celgene Corporation
1500 Owens Street, Suite 600
San Francisco, CA  94158
T: 415.839.7113 │ F: 415.839.7011

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